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6th MOCR@ICDAR 2017: Kyoto, Japan
- 6th International Workshop on Multilingual OCR, 14th IAPR International Conference on Document Analysis and Recognition, MOCR@ICDAR 2017, Kyoto, Japan, November 9-15, 2017. IEEE 2017
MOCR Session 1
- Nam Tuan Ly
, Cuong Tuan Nguyen
, Kha Cong Nguyen, Masaki Nakagawa:
Deep Convolutional Recurrent Network for Segmentation-Free Offline Handwritten Japanese Text Recognition. 5-9 - Riaz Ahmad, Saeeda Naz, Muhammad Zeshan Afzal, Sheikh Faisal Rashid, Marcus Liwicki, Andreas Dengel:
KHATT: A Deep Learning Benchmark on Arabic Script. 10-14 - Riaz Ahmad, Saeeda Naz, Muhammad Zeshan Afzal, Sheikh Faisal Rashid, Marcus Liwicki, Andreas Dengel:
The Impact of Visual Similarities of Arabic-Like Scripts Regarding Learning in an OCR System. 15-19 - Wataru Ohyama, Seiya Iwata, Tetsushi Wakabayashi, Fumitaka Kimura:
Detection and Recognition of Arabic Text in Video Frames. 20-24
MOCR Session 2
- Ekraam Sabir, Stephen Rawls, Prem Natarajan:
Implicit Language Model in LSTM for OCR. 27-31 - V. S. Vinitha, Minesh Mathew, C. V. Jawahar
:
An Empirical Study of Effectiveness of Post-Processing in Indic Scripts. 32-36 - Dipankar Ganguly, Sumeet Agarwal
, Santanu Chaudhury:
Improving Classical OCRs for Brahmic Scripts Using Script Grammar Learning. 37-41 - Minesh Mathew, Mohit Jain, C. V. Jawahar
:
Benchmarking Scene Text Recognition in Devanagari, Telugu and Malayalam. 42-46
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